TY - GEN
T1 - Identification of wrist EMG signals using dry type electrodes
AU - Oyama, Tadahiro
AU - Choge, Hillary
AU - Karungaru, Stephen
AU - Tsuge, Satoru
AU - Mitsukura, Yasue
AU - Fukumi, Minoru
PY - 2009/12/1
Y1 - 2009/12/1
N2 - Recently, researches of artificial arms and pointing devices using ElectroMyoGram(EMG) have been actively done. However, EMG is usually measured from a part with comparatively big muscular fibers such as arms and shoulders. Therefore, if we can recognize wrist motions using EMG which was measured from the wrist, the range of application will extend furthermore. However, when we use the wrist EMG, there are problems that the individual difference is large and its repeatability is low and so on. In this paper, we aim the construction of wrist EMG recognition system that is robust to these problems.
AB - Recently, researches of artificial arms and pointing devices using ElectroMyoGram(EMG) have been actively done. However, EMG is usually measured from a part with comparatively big muscular fibers such as arms and shoulders. Therefore, if we can recognize wrist motions using EMG which was measured from the wrist, the range of application will extend furthermore. However, when we use the wrist EMG, there are problems that the individual difference is large and its repeatability is low and so on. In this paper, we aim the construction of wrist EMG recognition system that is robust to these problems.
KW - EMG
KW - Neural network
KW - Simple-FLDA
UR - http://www.scopus.com/inward/record.url?scp=77951096052&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77951096052&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:77951096052
SN - 9784907764333
T3 - ICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings
SP - 4433
EP - 4436
BT - ICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings
T2 - ICROS-SICE International Joint Conference 2009, ICCAS-SICE 2009
Y2 - 18 August 2009 through 21 August 2009
ER -